Improve README

[pderrenger]

This pull request attempts to improve the repo README file with additional context and content.

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

Welcome to the revamped xView YOLOv3 repository, where you're guided to train YOLOv3 with satellite imagery for advanced object detection!

📊 Key Changes

• Enhanced introduction with a more welcoming tone and context about the xView challenge.
• Simplified installation instructions with a straightforward command and a clean list of dependencies.
• Clear steps for training, including setup with MATLAB, and resumption of training, with illustrative images and new command examples.
• Detailed augmentation descriptions now in a well-organized table format for easy comprehension.
• Updated inference example with a new command snippet and output image.
• Refreshed the README with vibrant emojis, cleaner formatting, and an approachable voice for a broader range of readers.

🎯 Purpose & Impact

• Improved Clarity: Simplifies the understanding of how to use the repository by revamping the documentation.
• User Engagement: The lively presentation and structured format aim to make object detection more approachable to a diverse audience.
• Enhanced Experience: New users and seasoned developers alike will find it easier to start, pause, and resume their AI training endeavors, potentially leading to more participation in the xView challenge and advancements in object detection research.

🚀 These thoughtful changes are set to make the journey from zero to AI-hero in satellite imagery analysis smoother and more enjoyable!

[github-actions]

Hello @pderrenger, thank you for submitting a PR! We will respond as soon as possible.